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anilpsori/DNAm_pipelines_and_biomarkers: Analysis code of DNAm data preprocessing and normalization strategies and implementation of DNAm predictors

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 Oct 2022Publisher:Zenodo
Authors: Anilpsori;

doi: 10.5281/zenodo.7150375 , 10.5281/zenodo.7150374

anilpsori/DNAm_pipelines_and_biomarkers: Analysis code of DNAm data preprocessing and normalization strategies and implementation of DNAm predictors

Abstract

This release contains programming code written in the R language to implement 101 DNAm data preprocessing and normalization strategies as well as various DNAm predictors. These analytical strategies and predictors were implemented as part of a systematic evaluation of DNA methodology and the performance of DNAm predictors (see reference to preprint below). A systematic evaluation of 41 DNA methylation predictors across 101 data preprocessing and normalization strategies highlights considerable variation in algorithm performance: https://www.biorxiv.org/content/10.1101/2021.09.29.462387v1

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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